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https://github.com/avik-pal/raytracer.jl
Differentiable RayTracing in Julia
https://github.com/avik-pal/raytracer.jl
differentiable-programming gradient-descent inverse-rendering julia machine-learning mesh-rendering optimization ray-tracer raytracer
Last synced: about 12 hours ago
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Differentiable RayTracing in Julia
- Host: GitHub
- URL: https://github.com/avik-pal/raytracer.jl
- Owner: avik-pal
- License: mit
- Created: 2019-03-17T22:03:58.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2023-02-03T01:08:54.000Z (over 1 year ago)
- Last Synced: 2024-07-10T21:14:06.539Z (3 months ago)
- Topics: differentiable-programming, gradient-descent, inverse-rendering, julia, machine-learning, mesh-rendering, optimization, ray-tracer, raytracer
- Language: Julia
- Homepage: https://avik-pal.github.io/RayTracer.jl/stable/
- Size: 34.9 MB
- Stars: 149
- Watchers: 7
- Forks: 12
- Open Issues: 16
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.bib
Awesome Lists containing this project
README
# RayTracer.jl
[](https://codecov.io/gh/avik-pal/RayTracer.jl)
[](https://avik-pal.github.io/RayTracer.jl/dev/)
[](https://doi.org/10.21105/jcon.00037)
[](https://doi.org/10.5281/zenodo.1442781)
> This package was written in the early days of Flux / Zygote. Both these packages have significantly improved over time. Unfortunately the current state of this package of has not been updated to reflect those improvements. It also seems that it might be better to gradually transition to defining the adjoints directly using ChainRules
A Ray Tracer written completely in Julia. This allows us to leverage the AD capablities provided by Zygote to differentiate through the Ray Tracer.
## INSTALLATION
This package is registered. So open up a Julia 1.3+ repl and enter the pkg mode.
```julia
julia> ]
(v1.3) pkg> add RayTracer
```
To use the master branch (not recommended) do.
```julia
julia> ]
(v1.3) pkg> add RayTracer#master
```
## TUTORIALS
## USAGE EXAMPLES
Follow the instructions below to run individual examples or use
`examples/script.sh` to run all of them together.
First we need to get the versions of the packages used when these
examples were written.
```bash
$ cd examples
$ julia --color=yes -e "using Pkg; Pkg.instantiate()"
```
Now we can run any of the file we need by
`julia --project=. --color=yes "/path/to/file"`
### Running Individual Examples
* [`teapot_rendering.jl`](examples/teapot_rendering.jl) -- We need to download the `teapot.obj` file.
```
wget https://raw.githubusercontent.com/McNopper/OpenGL/master/Binaries/teapot.obj
```
* [`performance_benchmarks.jl`](examples/performance_benchmarks.jl) -- We need the mesh and texture for
the yield sign board.
```bash
$ mkdir meshes
$ cd meshes
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/meshes/sign_yield.obj
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/meshes/sign_yield.mtl
$ cd ..
$ mkdir textures
$ cd textures
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/textures/wood_osb.jpg
$ wget https://raw.githubusercontent.com/avik-pal/RayTracer.jl/master/test/textures/sign_yield.png
$ cd ..
```
This example requires a few arguments to be passes from command line. Chack them using
`julia --project=. --color=yes "performance_benchmarks.jl" --help`
* [`inverse_lighting.jl`](examples/inverse_lighting.jl) &
[`optim_compatibility.jl`](examples/optim_compatibility.jl) -- We need to the `tree.mtl`
and `tree.obj` files.
```
$ wget https://raw.githubusercontent.com/tejank10/Duckietown.jl/master/src/meshes/tree.obj
$ wget https://raw.githubusercontent.com/tejank10/Duckietown.jl/master/src/meshes/tree.mtl
```
### Additional Examples
[Duckietown.jl](https://github.com/tejank10/Duckietown.jl) uses RayTracer.jl for generating renders
of a self-driving car environment. For more complex examples of RayTracer, checkout that project.
## SUPPORTING AND CITING:
This software was developed as part of academic research. If you would like to help support it, please star the repository. If you use this software as part of your research, teaching, or other activities, we would be grateful if you could cite the following:
```
@article{Pal2020,
doi = {10.21105/jcon.00037},
url = {https://doi.org/10.21105/jcon.00037},
year = {2020},
publisher = {The Open Journal},
volume = {1},
number = {1},
pages = {37},
author = {Avik Pal},
title = {RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction},
journal = {Proceedings of the JuliaCon Conferences}
}
```
## CURRENT ROADMAP
These are not listed in any particular order
- [X] Add more types of common objects (use mesh rendering for this)
- [X] Add support for rendering arbitrary mesh
- [X] Inverse Rendering Examples
- [X] Texture Rendering
- [ ] Application in Machine Learning Models through Flux (work in progress)
- [ ] Major Overhaul using Flux3D.jl
- [ ] Exploit the latest improvements to Flux and Zygote
